A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem Ontology Memory-Augmented ASR Correction for Long Text-Speech Interleaved Conversations Fodor and Pylyshyn’s Systematicity Challenge Still Stands A Fixed-Point Neural Operator for Size- and Functional-Transferable Hamiltonian Prediction TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization